Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
Instructions to use jatr96/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jatr96/trained-sd3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jatr96/trained-sd3", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of sks dog in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 4c1692764db2c8657e8ac613965e4912332e1ae1f5e5a449f1b9244377a03290
- Size of remote file:
- 1.44 MB
- SHA256:
- 85bd16e21622ab5ca528f677ca957d702abf89165758f0f80a40a5e49fadc9bd
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